Ryan Jarvis, the Chief Technology Officer of RockNRG, has over 21 years of experience in upstream exploration in the energy industry. He has significantly contributed as a geoscientist and computational scientist, developing subsurface technologies and modernizing business workflows. Early in his career, he automated reservoir simulation processes, reducing cycle times dramatically. He later invented stratigraphic analytics to expedite assessments and predict drilling results. Recently, as a thought leader for ExxonMobil, he has advanced upstream digital transformation and industry standards. Ryan will share his insights on using advanced analytics, AI, and ML to validate production data and optimize performance in real-time.

Ryan Jarvis will discuss the challenges posed by the sheer volume and complexity of sensor data, emphasizing the difficulty in ensuring that information remains accurate and reliable in real-time. He will explore how adopting standards for trusted data enhances confidence, integration, and interoperability in cloud technologies. Additionally, Ryan will present a compelling case study on real-time production data verification, illustrating how advanced analytics, AI, and ML can significantly improve business decisions. His insights will highlight the transformative impact of these technologies on data management and operational efficiency, offering a clear perspective on their role in modernizing the energy sector.